A Comprehensive AI Policy Education Framework for University Teaching and Learning

Autor/in	Chan, Cecilia Ka Yuk
Titel	A Comprehensive AI Policy Education Framework for University Teaching and Learning
Quelle	In: International Journal of Educational Technology in Higher Education, 20 (2023), Artikel 38 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Chan, Cecilia Ka Yuk)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s41239-023-00408-3
Schlagwörter	Artificial Intelligence; Educational Policy; College Instruction; Higher Education; Foreign Countries; Ecology; Governance; Technology Uses in Education; Instructional Improvement; Privacy; Information Security; Accountability; Technology Integration; Ethics; Hong Kong + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Politics of education; Bildungspolitik; Hochschullehre; Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausland; Ökologie; Education; Educational policy; Financing; Steuerung; Bildung; Erziehung; Finanzierung; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Unterrichtsqualität; Privatsphäre; Verantwortung; Ethik; Hongkong
Abstract	This study aims to develop an AI education policy for higher education by examining the perceptions and implications of text generative AI technologies. Data was collected from 457 students and 180 teachers and staff across various disciplines in Hong Kong universities, using both quantitative and qualitative research methods. Based on the findings, the study proposes an AI Ecological Education Policy Framework to address the multifaceted implications of AI integration in university teaching and learning. This framework is organized into three dimensions: Pedagogical, Governance, and Operational. The Pedagogical dimension concentrates on using AI to improve teaching and learning outcomes, while the Governance dimension tackles issues related to privacy, security, and accountability. The Operational dimension addresses matters concerning infrastructure and training. The framework fosters a nuanced understanding of the implications of AI integration in academic settings, ensuring that stakeholders are aware of their responsibilities and can take appropriate actions accordingly. (As Provided).
Anmerkungen	BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01